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The Journal of Mathematical Sociology Volume 39, 2015 - Issue 3
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Letter to the Editor

A Flexible Parameterization for Baseline Mean Degree in Multiple-Network ERGMs

Carter T. ButtsDepartments of Sociology, Statistics, and EECS, and Institute for Mathematical Behavioral Sciences, University of California, Irvine, California, USACorrespondence[email protected]
&
Zack W. AlmquistDepartment of Sociology, School of Statistics, and Minnesota Population Center, University of Minnesota, Minneapolis, Minnesota, USA
Pages 163-167 | Published online: 09 Jul 2015

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Read on this site (6)

Pavel N. Krivitsky, Pietro Coletti & Niel Hens. (2023) A Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks. Journal of the American Statistical Association 0:0, pages 1-21.
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Carter T. Butts. (2023) Continuous time graph processes with known ERGM equilibria: contextual review, extensions, and synthesis. The Journal of Mathematical Sociology 0:0, pages 1-43.
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Carter T. Butts. (2022) A dynamic process reference model for sparse networks with reciprocity. The Journal of Mathematical Sociology 46:1, pages 1-27.
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Abhirup Mallik & Zack W. Almquist. (2019) Stable Multiple Time Step Simulation/Prediction From Lagged Dynamic Network Regression Models. Journal of Computational and Graphical Statistics 28:4, pages 967-979.
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Carter T. Butts. (2019) A dynamic process interpretation of the sparse ERGM reference model. The Journal of Mathematical Sociology 43:1, pages 40-57.
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Nynke M. D. Niezink. Discussion of “A Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks”. Journal of the American Statistical Association 0:0, pages 1-3.
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Articles from other publishers (8)

Marion Hoffman, Per Block & Tom A. B. Snijders. (2023) Modeling Partitions of Individuals. Sociological Methodology 53:1, pages 1-41.
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Linda Zhao. (2023) From Superdiversity to Consolidation: Implications of Structural Intersectionality for Interethnic Friendships. American Journal of Sociology 128:4, pages 1114-1157.
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Fan Yin, Weining Shen & Carter T. Butts. (2022) Finite Mixtures of ERGMs for Modeling Ensembles of Networks. Bayesian Analysis 17:4.
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Michael Schweinberger. (2021) Discussion to: Bayesian graphical models for modern biological applications by Y. Ni, V. Baladandayuthapani, M. Vannucci and F.C. Stingo. Statistical Methods & Applications 31:2, pages 253-260.
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George G. Vega Yon, Andrew Slaughter & Kayla de la Haye. (2021) Exponential random graph models for little networks. Social Networks 64, pages 225-238.
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Michael Schweinberger, Pavel N. Krivitsky, Carter T. Butts & Jonathan R. Stewart. (2020) Exponential-Family Models of Random Graphs: Inference in Finite, Super and Infinite Population Scenarios. Statistical Science 35:4.
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Michael Schweinberger & Jonathan Stewart. (2020) Concentration and consistency results for canonical and curved exponential-family models of random graphs. The Annals of Statistics 48:1.
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Jonathan Stewart, Michael Schweinberger, Michal Bojanowski & Martina Morris. (2019) Multilevel network data facilitate statistical inference for curved ERGMs with geometrically weighted terms. Social Networks 59, pages 98-119.
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